Note: The job is a remote job and is open to candidates in USA. Scientific Games is the global leader in lottery games and sports betting technology, and they are seeking two Senior Product Engineers to join their team. This role focuses on strategic product initiatives and new business opportunities, requiring candidates to deliver high-quality software while enhancing both new and legacy systems.
Responsibilities
- Build new products, prototypes, integrations, and production capabilities tied to strategic business opportunities
- Work inside existing legacy codebases while improving testability, interfaces, observability, automation, and maintainability
- Use AI coding tools and agentic workflows to accelerate code generation, test creation, documentation, refactoring, migration work, debugging, and review
- Turn ambiguous product intent into clear specs, acceptance criteria, interface contracts, examples, test plans, and release criteria
- Practice disciplined automated testing, including TDD, ATDD, unit tests, integration tests, contract tests, regression tests, and production validation where appropriate
- Create fast feedback loops through CI/CD, feature flags, preview environments, observability, deployment automation, and production-safe release patterns
- Partner with product, architecture, QA, DevOps, security, operations, and domain experts to make practical tradeoffs and get work into use
- Reduce cycle time by removing ambiguity, waiting, brittle test paths, slow reviews, unclear ownership, and avoidable rework
- Help define how this team works: engineering standards, technical decisions, AI-assisted development patterns, test strategy, and production readiness
- Share useful patterns with other engineering teams so the work improves more than one product or codebase
Skills
- 10+ years of Software Engineering experience
- Experience building production software across the full lifecycle: product framing, design, implementation, testing, release, operations, and iteration
- Experience working in large or legacy codebases while improving architecture, testability, observability, and delivery speed
- Hands-on fluency with modern AI-assisted development tools, including coding assistants, agentic workflows, AI-assisted code generation and review, test generation, documentation support, refactoring, migration support, and debugging
- Strong automated testing discipline, including TDD, ATDD, unit testing, integration testing, contract testing, regression automation, and production validation
- Experience building fast feedback loops with CI/CD, automated test suites, feature flags, preview environments, observability, deployment automation, and progressive release practices
- Strong engineering judgment across software design, APIs, integration patterns, data flows, reliability, security, and production readiness
- Ability to work directly with product leaders, business stakeholders, domain experts, QA, DevOps, architecture, security, and operations teams
- Clear written and verbal communication; able to turn ambiguity into an implementation path others can understand
- Masters degree preferred
- Product engineering in a startup, growth-stage company, incubation team, platform team, or strategic product pod
- Experience bringing modern development practices into older systems without stopping delivery
- Regulated, high-reliability, transactional, gaming, lottery, payments, or customer-facing platform environments
- Cloud-native development, platform engineering, infrastructure as code, APIs, event-driven systems, distributed systems, or integration-heavy architectures
- Experience helping other engineers adopt better AI-assisted development, testing, release, or observability practices
Company Overview
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